At a Glance
- Tasks: Design and deliver innovative data solutions for national security clients.
- Company: Envitia, a leader in mission-focused data solutions.
- Benefits: Competitive salary, professional development, and impactful work.
- Other info: Opportunity for career growth in a dynamic, mission-driven environment.
- Why this job: Shape the future of national security with cutting-edge data architecture.
- Qualifications: Strong expertise in data architecture and analytics; AWS or Azure experience.
The predicted salary is between 63000 - 77000 £ per year.
Envitia operates at the heart of the UK’s most sensitive and high-profile operations.
Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains.
We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture.
This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most.
Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments.
We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success.
We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes.
Every engagement focuses on capability, clarity, and confidence for those who protect the nation.
The Role
As a Data Architect at Envitia, you’ll play a pivotal role in shaping data solutions that directly support the UK’s national security mission.
Working within our expert consulting division, you’ll design and deliver cutting‑edge, data‑driven systems that empower our national security clients to make faster, better‑informed decisions.
This role goes beyond solution delivery—you’ll help define Envitia’s future capabilities by contributing to our growing suite of intellectual property, frameworks, and methodologies that underpin our work in the national security domain.
You’ll develop proof‑of‑concept demonstrators, refine our approaches to complex data challenges, and help position Envitia as a trusted partner in this critical market.
Due to the sensitive nature of the projects, the successful candidate will be required to obtain enhanced Developed Vetting (e DV) security clearance.
- Job Responsibilities
- Gather and analyse requirements to design tailored data solutions for customers.
- Develop data strategies and governance frameworks to drive organisational data transformation.
- Lead end‑to‑end delivery of modern data architectures across various technologies and platforms.
- Collaborate with project managers, technical teams, and stakeholders to ensure successful implementation.
- Provide technical leadership, ensuring solutions align with client needs and regulatory standards.
- Contribute to the design and development of managed services for Envitia and its clients.
- Conduct horizon scanning to identify emerging technologies and industry trends.
- Develop cost models, risk assessments, and business cases for proposed solutions.
Skills Required
Essential
- Strong technical design expertise in core data architecture disciplines including data modelling, data analysis, metadata management, data transformation, data migration and master data.
- Experience in establishing data analytics and supporting AI solutions.
- Data quality/validation experience: designing metrics and KPIs to verify and automate management of data quality.
- Good working experience of AWS (e. g. S3, Kinesis, Glue, Redshift, Lambda and EMR) and/or Azure data services (e. g. ADF, Synapse, Fabric, Azure Functions).
Desirable Skills
- Working experience in Data Lakehouse environments such as Databricks, Snowflake and/or Microsoft Fabric.
- Security Clearance Requirements
The successful candidate must be eligible for an enhanced Developed Vetted / e DV security clearance.
Location
It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements).
#J-18808-Ljbffr
Data Architect in Gloucester employer: 慨正橡扯
At Third Bridge, we are not just offering a job; we are providing a career launchpad in a vibrant and fast-paced environment. With a strong focus on employee growth, our Client Services Associate role allows you to develop essential skills while working with top-tier clients, all within a supportive culture that values work-life balance and personal development. Join us to accelerate your career and enjoy comprehensive benefits, including generous vacation days and the flexibility to work from anywhere for a month each year.
StudySmarter Expert Advice🤫
We think this is how you could land Data Architect in Gloucester
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like 慨正橡扯!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Architect at 慨正橡扯.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like 慨正橡扯.
✨Apply Directly through Our Website
When you find a suitable opening like Data Architect at 慨正橡扯, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Architect in Gloucester
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at 慨正橡扯, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at 慨正橡扯. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at 慨正橡扯
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at 慨正橡扯!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
